ARC: A Vision-based Automatic Retail Checkout System

• URL: http://arxiv.org/abs/2104.02832v1
• Date: Wed, 7 Apr 2021 00:07:53 GMT
• Title: ARC: A Vision-based Automatic Retail Checkout System
• Authors: Syed Talha Bukhari, Abdul Wahab Amin, Muhammad Abdullah Naveed, Muhammad Rzi Abbas
• Abstract summary: ARC aims at making the process of check-out at retail store counters faster, autonomous, and more convenient. The approach makes use of a computer vision-based system, with a Convolutional Neural Network at its core, which scans objects placed beneath a webcam for identification.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Retail checkout systems employed at supermarkets primarily rely on barcode scanners, with some utilizing QR codes, to identify the items being purchased. These methods are time-consuming in practice, require a certain level of human supervision, and involve waiting in long queues. In this regard, we propose a system, that we call ARC, which aims at making the process of check-out at retail store counters faster, autonomous, and more convenient, while reducing dependency on a human operator. The approach makes use of a computer vision-based system, with a Convolutional Neural Network at its core, which scans objects placed beneath a webcam for identification. To evaluate the proposed system, we curated an image dataset of one-hundred local retail items of various categories. Within the given assumptions and considerations, the system achieves a reasonable test-time accuracy, pointing towards an ambitious future for the proposed setup. The project code and the dataset are made publicly available.

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